Application of Deep Learning for Fault Diagnostic in Induction Machine's Bearings. - Nastaran Enshaei; Farnoosh Naderkhani (ICPHM, 2019)

Integrated Deep Learning and Statistical Process Control for Online Monitoring of Manufacturing Processes. - Safwan Ahmad; Nastaran Enshaei; Farnoosh Naderkhani; Anjali Awasthi (ICPHM, 2020)

Automated detection of textured-surface defects using UNet-based semantic segmentation network. - Nastaran Enshaei; Safwan Ahmad; Farnoosh Naderkhani (ICPHM, 2020)

COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning. - Parnian Afshar; Shahin Heidarian; Nastaran Enshaei; Farnoosh Naderkhani; Moezedin Javad Rafiee; Anastasia Oikonomou; Faranak Babaki Fard; Kaveh Samimi; Konstantinos N. Plataniotis; Arash Mohammadi 001 (CoRR, 2020)

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications. - Arash Mohammadi 001; Yingxu Wang 001; Nastaran Enshaei; Parnian Afshar; Farnoosh Naderkhani; Anastasia Oikonomou; Moezedin Javad Rafiee; Helder Cesar Rodigues de Oliveira; Svetlana N. Yanushkevich; Konstantinos N. Plataniotis (CoRR, 2020)

Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network. - Parnian Afshar; Moezedin Javad Rafiee; Farnoosh Naderkhani; Shahin Heidarian; Nastaran Enshaei; Anastasia Oikonomou; Faranak Babaki Fard; Reut Anconina; Keyvan Farahani; Konstantinos N. Plataniotis; Arash Mohammadi 001 (CoRR, 2021)

COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans. - Nastaran Enshaei; Anastasia Oikonomou; Moezedin Javad Rafiee; Parnian Afshar; Shahin Heidarian; Arash Mohammadi 001; Konstantinos N. Plataniotis; Farnoosh Naderkhani (CoRR, 2021)

Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans. - Shahin Heidarian; Parnian Afshar; Nastaran Enshaei; Farnoosh Naderkhani; Moezedin Javad Rafiee; Anastasia Oikonomou; Akbar Shafiee; Faranak Babaki Fard; Konstantinos N. Plataniotis; Arash Mohammadi 001 (CoRR, 2021)

COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans. - Shahin Heidarian; Parnian Afshar; Nastaran Enshaei; Farnoosh Naderkhani; Moezedin Javad Rafiee; Faranak Babaki Fard; Kaveh Samimi; Seyed Farokh Atashzar; Anastasia Oikonomou; Konstantinos N. Plataniotis; Arash Mohammadi 001 (Frontiers Artif. Intell., 2021)

Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. - Arash Mohammadi 001; Yingxu Wang 001; Nastaran Enshaei; Parnian Afshar; Farnoosh Naderkhani; Anastasia Oikonomou; Moezedin Javad Rafiee; Helder Cesar Rodigues de Oliveira; Svetlana N. Yanushkevich; Konstantinos N. Plataniotis (IEEE Signal Process. Mag., 2021)

COVID-19 Low-Dose and Ultra-Low-Dose CT Scans. - Parnian Afshar; Moezedin Javad Rafiee; Farnoosh Naderkhani; Shahin Heidarian; Nastaran Enshaei; Anastasia Oikonomou; Faranak Babaki Fard; Reut Anconina; Konstantinos N. Plataniotis; Arash Mohammadi 001 (IEEE DataPort, 2021)

A Generalization Enhancement Approach for Deep Learning Segmentation Models: Application in COVID-19 Lesion Segmentation from Chest CT Slices. - Nastaran Enshaei; Moezedin Javad Rafiee; Farnoosh Naderkhani (EUSIPCO, 2022)

Data Shapley Value for Handling Noisy Labels: An Application in Screening Covid-19 Pneumonia from Chest CT Scans. - Nastaran Enshaei; Moezedin Javad Rafiee; Arash Mohammadi 001; Farnoosh Naderkhani (ICASSP, 2022)

Advancing Energy Monitoring: Deep Learning for Automated Non-Smart Gas Meter Readings. - Nastaran Enshaei; Stéphane Tremblay; Patrick Paul; Ashkan Ebadi (ICMLA, 2024)